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Jacob Mathieu Elite Prospects ↗

Position: Forward DOB: 2004-05-05 Country: Canada
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2020-21 Rimouski Océanic QMJHL 23 9 5 14 0.609 0.2991 0.2991 1.6254 1.6254
2021-22 Rimouski Océanic QMJHL 68 23 12 35 0.515 0.2529 0.2660 1.3744 1.4456
2022-23 Rimouski Océanic QMJHL 45 8 15 23 0.511 0.2511 0.2518 1.3648 1.3687
2023-24 Rimouski Océanic QMJHL 55 35 28 63 1.145 0.5628 0.5367 3.0588 2.9167
2024-25 Rimouski Océanic QMJHL 59 41 27 68 1.153 0.5662 0.5121 3.0775 2.7833
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Northeastern D1 HockeyEast FR 32 10 20 30 0.938
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.49
before college
→
Actual FR PPG
0.94
2025-26 · Northeastern
+92.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
45%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#5952
Forward overall
#174
Forward born in 2004
#200
in QMJHL

D1 Comparables

Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG

D2/3 Comparables

Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.